Literature Review

Google.org and Johnson & Johnson Foundation launch $10 million AI training program for rural U.S. healthcare workers Complete AI Training; Press Release; 4/14/26 Google.org and the Johnson & Johnson Foundation are launching a $10 million program to train rural U.S. healthcare workers to use AI tools for administrative tasks. The initiative targets operational efficiency in clinics facing chronic staffing shortages and administrative overload. ... According to the National Rural Health Association, over 130 rural hospitals have shut down since 2010, with administrative burden cited as a major factor. The new program addresses this directly by teaching healthcare workers to use AI for scheduling, patient documentation, and clinic operations. 

How can more efficient data sharing improve patient care plans? HealthTech; by Christopher Mills; 4/8/26 The effective participation in health information exchanges requires a focus on data governance, interoperability and organizationwide buy-in. Health information exchanges are steadily gaining traction as healthcare organizations look for ways to improve care coordination, reduce costs and meet regulatory expectations. Organizations are seeking ways to use data to make better decisions, which reduces costs and increases revenue. This is especially important for health systems as the federal government cuts funding across the board.

AI governance is not policy. It is infrastructure. Mondaq - Legal500| Intelligence; by Lowenstein Sandler; 3/23/26 If a regulator or litigant asked your organization tomorrow to explain how a specific AI system produced a decision, could you? Most organizations would struggle to answer. Not because they lack policies. Because they lack reliable evidence. AI governance that exists only in documents cannot scale. Real governance lives in systems, pipelines, identity controls, telemetry, and monitoring infrastructure that produce verifiable proof that governance is working.

Mass AI job replacement? Not in healthcare, CIOs say Becker's Health IT; by Giles Bruce; 3/18/26 While some doomsayers predict that AI will replace human workers en masse, health system CIOs told Becker’s that healthcare, so reliant on the human touch, is safe. But that doesn’t mean duties won’t change dramatically. In late February, an investment analyst scenario outlining economic cataclysm caused by AI momentarily jolted the stock market. The authors, from Citrini Research, imagined white-collar job openings “collapsing” in late 2026, with blue-collar hiring staying “relatively stable.” While healthcare may be best described as “gray-collar,” the sector is still the nation’s largest employer, driving much of the country’s job growth over the past few decades. Could AI change that equation? ...

[Portugal] Impact of Artificial Intelligence on the care of terminally ill patients Healthcare (Basel); by Florbela Gonçalves, Margarida Gaudencio, Sofia B Nunes, Francisca Rego, Rui Nunes; 2/27/26 Conclusions: AI-based technologies hold significant potential to address contemporary challenges in PC, including inequitable access, workforce strain, and the need for more efficient service delivery. Nevertheless, their implementation raises substantial ethical concerns related to autonomy, transparency, data governance, and the preservation of human dignity. AI should therefore be understood as a complementary tool that supports-but does not replace-the human dimension of PC.

Leveraging AI, automation, and data analytics in a hospice setting HealthTech; by Lindsay Myers; 3/13/26 In the hospice setting, the revenue cycle is not only complex but also uniquely fragile, as billing cannot proceed without complete documentation. The sequential nature of hospice billing, where one month’s claims must be fully processed before the next can begin, means that even minor deficiencies can halt revenue entirely. Small delays or errors upstream can have a profound impact on cash flow. ... To improve this process, the Chapters Health System is developing an AI-driven chart review process to analyze the completeness of clinical and other documentation in real time. The goal is to identify missing or inconsistent elements and route those issues directly to the party that can make corrections ...

‘Shadow AI’ continues to lurk in healthcare settingsHealthcare Brew; by Patrick Kulp; 2/19/26A recent survey found close to a fifth of workers admitted to using unapproved tools. At a time when tech companies want to make AI tools as standard-issue as stethoscopes, the technology is seemingly everywhere in the healthcare industry. But some of its use still remains in the shadows, so to speak—ungoverned by workplaces and rife with security and patient safety risks, experts said. This so-called “shadow AI” remains problematic, according to a recent survey from professional software provider Wolters Kluwer: Nearly a fifth (17%) of more than 500 healthcare workers admitted to tapping unauthorized AI in the workplace. And two in five said they’d encountered such a tool but didn’t use it.

How compliance technology can improve day-to-day operations BusinessABC; by Peyman Khosravani; 2/25/26 ... Compliance technology, compliance software, or regtech, is the use of software and technology to help companies adhere to regulatory, legal, and internal requirements, and the automation of monitoring, reporting, and auditing of compliance. ...

From digital transformation to intelligent transformation CIO; by Rakesh Bhardwaj; 2/25/26 Over the past decade, digital transformation has focused on converting manual processes to digital ones, migrating infrastructure to the cloud, updating applications and creating new channels for customer and employee engagement. These efforts have resulted in tangible benefits such as accelerated cycle times, increased transparency and reduced costs. However, these initiatives have also revealed limitations: Simply digitizing a flawed process does not resolve its underlying issues; it only makes the inefficiencies operate at a faster pace.

Weaving a unified fabric of care will heal the patient-provider relationship MedCity News; by Sachin K. Gupta; 2/20/26 Healthcare can transform only when strategy, workflow, data, and human connection operate together with a single purpose: strengthen the relationship at the center of care. The healthcare industry is under strain. ... At the core of these problems is the strained patient-clinician relationship. Healthcare is losing the very relationship it was built on. This is one of the prime problems that we need to solve to build a stronger healthcare industry, and AI is the instrument. ... Healthcare can transform only when strategy, workflow, data, and human connection operate together with a single purpose: strengthen the relationship at the center of care.

Factoring in the human side of robotics The Journal of Healthcare Contracting; by R. Dana Barlow... If incorporating robots in supply chain becomes the norm, and many believe it will be the case, then supply chain executives, leaders, managers and professionals must come to grips with any reservations they might have. How to accomplish that depends on the individual and the corporate culture in which he or she serves and works. ... “We’re in healthcare. Continuous improvement and innovation are a big part of the Memorial Hermann culture,” he told The Journal of Healthcare Contracting. “We have our caregivers, physicians, nurses. They’re always looking for new, innovative ways to deliver great patient care. ..."Editor's Notes: Are supply chain executives admonished to "come to grips with any reservations they might have," or should they--do they--listen, learn from, and incorporate valid reservations into their development and use of robotics? I do not assume to have answers--for the sake of delivering "great patient care"--I simply ask the glaring question.

How to responsibly use AI in palliative care and hematologic malignancies CancerNetwork; podcast by Ram Prakash Thirugnanasambandam, MBBS; 2/2/26 In a conversation with CancerNetwork®, Ram Prakash Thirugnanasambandam, MBBS, discussed the evolving roles that artificial intelligence (AI)–based tools may play in palliative care and the management of different hematologic malignancies. ... According to Thirugnanasambandam, implementing AI into one’s workflow may help accurately predict disease subtypes and burdens among patients with leukemia, lymphoma, or multiple myeloma. ... Thirugnanasambandam also discussed some of the ethical considerations surrounding the growth of AI-based tools, highlighting information privacy concerns and potentially biased datasets as notable issues with these platforms. Although AI may assist with decision-making, Thirugnanasambandam stated that it ultimately cannot replace a human’s nuanced clinical judgment and empathy.

Responsible AI: A practical path for today's organizations Mondaq; by Kaufman Rossin; 1/12/26 ... Trust sits at the heart of any meaningful AI effort. By protecting sensitive data, enabling consistent outcomes, and navigating cybersecurity and compliance risks, organizations can give their teams and stakeholders the confidence to embrace AI and the possibilities it opens. ... However, as organizations adopt AI tools, they may face heightened risks of exposing sensitive business information. ...